Locating object contours in complex background using improved snakes

Document Type

Article

Publication Date

2-1-2007

Abstract

An active contour model, called snake, can adapt to object boundary in an image. A snake is defined as an energy minimizing spline guided by external constraint forces and influenced by image forces that pull it toward features such as lines or edges. The traditional snake model fails to locate object contours that appear in complex background. In this paper, we present an improved snake model associated with new regional similarity energy and a gravitation force field to attract the snake approaching the object contours efficiently. Experiment results show that our snake model works successfully for convex and concave objects in a variety of complex backgrounds. © 2006 Elsevier Inc. All rights reserved.

Identifier

33846493052 (Scopus)

Publication Title

Computer Vision and Image Understanding

External Full Text Location

https://doi.org/10.1016/j.cviu.2006.08.007

e-ISSN

1090235X

ISSN

10773142

First Page

93

Last Page

98

Issue

2

Volume

105

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